We propose a new approach to statistically optimal image reconstruction based on direct optimization of the MAP criterion.
[PDF] A Unified Approach to Statistical Tomography Using Coordinate ...
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Our approach to optimization is based on the sequential greedy optimization of pixel (or voxel) values in the re- construction. This method, which we refer to ...
This work proposes a new approach to statistically optimal image reconstruction based on direct optimization of the MAP criterion, which requires ...
Coordinate descent algorithms solve optimization problems by successively performing approximate minimization along coordinate directions or coordinate ...
Bouman et al. A unified approach to statistical tomography using coordinate descent optimization. IEEE Trans. Image Processing. (1996). P.J. Green. Bayesian ...
A localized relaxation algorithm, the iterative-coordinate-descent algorithm, is employed as a computationally efficient optimization technique. Numerical ...
Sauer, A unified approach to statistical tomography using coordinate descent optimization, IEEE Transactions on Image Processing, vol.5, issue.3, pp.480-492 ...
Abstract—This paper presents a new class of algorithms for penalized-likelihood reconstruction of attenuation maps from low-count transmission scans.
C. A. Bouman and K. Sauer, “A unified approach to statistical tomography using coordinate descent optimization,” IEEE Trans. on Image Processing 5, 480–492 ( ...
[3] C. A. Bouman and K. Sauer, “A unified approach to statistical tomography using coordinate descent optimization,” IEEE Trans. on Image Process- ing, vol.